Computational models of atrial fibrillation: Achievements, challenges, and perspectives for improving clinical care

J Heijman, H Sutanto, HJGM Crijns… - Cardiovascular …, 2021 - academic.oup.com
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …

Computationally guided personalized targeted ablation of persistent atrial fibrillation

PM Boyle, T Zghaib, S Zahid, RL Ali, D Deng… - Nature biomedical …, 2019 - nature.com
Atrial fibrillation (AF)—the most common arrhythmia—significantly increases the risk of
stroke and heart failure. Although catheter ablation can restore normal heart rhythms …

[PDF][PDF] 25 years of basic and translational science in EP Europace: novel insights into arrhythmia mechanisms and therapeutic strategies

CA Remme, J Heijman, AM Gomez, A Zaza… - Europace, 2023 - academic.oup.com
In the last 25 years, EP Europace has published more than 300 basic and translational
science articles covering different arrhythmia types (ranging from atrial fibrillation to …

Explainable machine learning to predict anchored reentry substrate created by persistent atrial fibrillation ablation in computational models

SF Bifulco, F Macheret, GD Scott, N Akoum… - Journal of the …, 2023 - Am Heart Assoc
Background Postablation arrhythmia recurrence occurs in~ 40% of patients with persistent
atrial fibrillation. Fibrotic remodeling exacerbates arrhythmic activity in persistent atrial …

Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models

RL Ali, JB Hakim, PM Boyle, S Zahid… - Cardiovascular …, 2019 - academic.oup.com
Aims Inadequate modification of the atrial fibrotic substrate necessary to sustain re-entrant
drivers (RDs) may explain atrial fibrillation (AF) recurrence following failed pulmonary vein …

Up digital and personal: How heart digital twins can transform heart patient care

NA Trayanova, A Prakosa - Heart Rhythm, 2024 - Elsevier
Precision medicine is the vision of health care where therapy is tailored to each patient. As
part of this vision, digital twinning technology promises to deliver a digital representation of …

Sensitivity of ablation targets prediction to electrophysiological parameter variability in image-based computational models of ventricular tachycardia in post-infarction …

D Deng, A Prakosa, J Shade, P Nikolov… - Frontiers in …, 2019 - frontiersin.org
Ventricular tachycardia (VT), which could lead to sudden cardiac death, occurs frequently in
patients with myocardial infarction. Computational modeling has emerged as a powerful …

Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate

SF Bifulco, GD Scott, S Sarairah, Z Birjandian… - Elife, 2021 - elifesciences.org
Cardiac magnetic resonance imaging (MRI) has revealed fibrosis in embolic stroke of
undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib) …

The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment

KN Aronis, R Ali, NA Trayanova - International journal of cardiology, 2019 - Elsevier
Atrial fibrillation is the most common arrhythmia in humans and is associated with high
morbidity, mortality and health-related expenses. Computational approaches have been …

Characterizing the arrhythmogenic substrate in personalized models of atrial fibrillation: sensitivity to mesh resolution and pacing protocol in AF models

PM Boyle, AR Ochs, RL Ali, N Paliwal… - EP …, 2021 - academic.oup.com
Aims Computationally guided persistent atrial fibrillation (PsAF) ablation has emerged as an
alternative to conventional treatment planning. To make this approach scalable …